36 citations · 85 across the 5 of their papers we have counts for
5 papers
On Improving the Performance of Glitch Classification for Gravitational Wave Detection by using Generative Adversarial Networks
Jianqi Yan, Alex P. Leung, David C. Y. Hui
Spectrogram classification plays an important role in analyzing gravitational wave data. In this paper, we propose a framework to improve the classification performance by using Ge…
DRIFT: Deep Reinforcement Learning for Functional Software Testing
Luke Harries, Rebekah Storan Clarke, Timothy Chapman +10
Efficient software testing is essential for productive software development and reliable user experiences. As human testing is inefficient and expensive, automated software testing…
Searches for Pulsar-like Candidates from Unidentified Objects in the Third Catalog of Hard Fermi-LAT (3FHL) sources with Machine Learning Techniques
C. Y. Hui, Jongsu Lee, K. L. Li +7
We report the results of searching pulsar-like candidates from the unidentified objects in the Catalog of Hard Fermi-LAT sources (3FHL). Using a machine-learning based…
An investigation on the factors affecting machine learning classifications in -ray astronomy
Shengda Luo, Alex P. Leung, C. Y. Hui +1
We have investigated a number of factors that can have significant impacts on the classification performance of -ray sources detected by Fermi Large Area Telescope (LAT) with ma…
PinView: Implicit Feedback in Content-Based Image Retrieval
Zakria Hussain, Arto Klami, Jussi Kujala +6
This paper describes PinView, a content-based image retrieval system that exploits implicit relevance feedback collected during a search session. PinView contains several novel met…